
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch

About Leena AI
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We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer.
The requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.
Responsibilities:
● Design, develop, and maintain scalable backend services and APIs using Java and Spring
Boot.
● Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient
data storage and retrieval.
● Implement RESTful APIs to facilitate seamless communication between frontend and backend
components.
● Configure and manage Nginx web servers to efficiently handle incoming requests and improve
application performance.
● Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and
security.
● Configure and optimize message broker systems using Kafka for real-time data processing
and communication.
● Containerize applications using Docker for easy deployment, scaling, and management.
● Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the
development and architecture of backend systems.
● Automating CI/CD pipelines and streamlining the software development lifecycle.
● Integrate AI/ML models into backend workflows using Python, PyTorch/TensorFlow, or
third-party AI APIs.
● Leverage AI tools (e.g., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent
features.
● Collaborate closely with frontend developers, product managers, data scientists, and other
stakeholders to deliver high-quality AI-powered solutions.
● Monitor and troubleshoot production systems to ensure optimal performance, reliability, and
uptime.
What We’re Looking For:
● Bachelor’s degree in Computer Science, Engineering, or related field.
● 3-5 years of experience in backend development.
● Proficiency in Java, Spring Boot, PostgreSQL, SQL, and GitActions.
● Strong understanding of RESTful API design principles and best practices.
● Experience with configuring and optimizing Nginx web servers.
● Experience with configuring and optimizing Kafka service.
● Hands-on experience with AWS or GCP.
● Familiarity with Docker containers and container orchestration.
● Ability to create comprehensive Low-Level Designs (LLDs) and High-Level Designs (HLDs)
for backend systems.
● Experience with Python for AI/ML model integration in backend services.
● Familiarity with AI platforms and APIs such as OpenAI, Hugging Face, AWS AI/ML, or GCP
Vertex AI.
● Excellent problem-solving skills and attention to detail.
● Strong communication and collaboration skills, with the ability to work effectively in a team
environment.
Preferred Qualifications:
● Knowledge of microservices architecture and related technologies.
● Experience with cloud-native development and serverless computing.
● Understanding of software development best practices, including Agile methodologies
Level of skills and experience:
5 years of hands-on experience in using Python, Spark,Sql.
Experienced in AWS Cloud usage and management.
Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).
Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.
Experience with orchestrators such as Airflow and Kubeflow.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Fundamental understanding of Parquet, Delta Lake and other data file formats.
Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.
Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
6-8 yrs experience
Fully Remote position
Max compensation - 45 LPA per annum (Full in hand)
Key Responsibilities
- Design, implement and maintain software to the demanding standards of a real time, highly concurrent distributed system.
- Working in conjunction with the rest of the development team, you will architect and build highly performant, scalable and extensible external APIs
- Collaborate with customers and internal stakeholders, at all levels, to continuously improve our product in a measured data-driven approach
- Learn quickly, adapt, and invent based on changing company needs and priorities
- Contribute to code reviews, tech talks, innovation drives and patents
Minimum Qualifications
- Excellent problem solving skills
- Bachelors in a computer science or other equivalent field
- Proficiency in deploying production systems using a major programming language like Java, Python, NodeJS or similar
- Excellent command over object oriented design and system design
- Experience building distributed systems and scaling them with high availability
- Ability to exercise autonomy rather than needing detailed direction and proactively get things done
Preferred Qualifications
- Experience in customer facing software development
- Proficiency building unit and performance tests to ensure reliability and scalability
- Experience in Artificial Intelligence, Machine Learning (ML) models, Natural Language Processing or Deep Learning is a plus
- Experience with cloud infrastructure such as AWS, GCP is a plus
Why work with us
- A small collaborative and excited team
- We value autonomy, allowing you to choose the configuration that makes you most productive
- Able to work remotely anywhere in Indian Standard Time
- Continuous learning and up-skill opportunities
- We love ideas, innovation and experiments!
- Competitive salary
Job Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
-
Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS







